Digital Post-Surgical Follow-Up Trial for Colorectal Cancer: Can the COLORECTUM+ Platform Transform Postoperative Care Quality?
247 Health News Editorial
·29 July 2026
·5 min read
·clinical-trialsA prospective Chinese trial is evaluating the COLORECTUM+ digital platform for postoperative colorectal cancer care, using mobile app-based symptom monitoring and real-time clinical alerts to improve follow-up rates and patient outcomes. Enrolling 236 surgical patients at Renji Hospital with a 52-week follow-up, the study could provide a replicable model for digital postoperative oncology care globally. Australian clinicians managing colorectal cancer patients should watch this space closely.
Originally reported by ClinicalTrials.gov
References
- 1.RenJi Hospital. (2024). Construction and application of a digital postoperative medical quality evaluation and promotion system for colorectal cancer based on the COLORECTUM+ model (NCT06685497). ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06685497
- 2.Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 71(3), 209–249. https://doi.org/10.3322/caac.21660
- 3.Australian Institute of Health and Welfare. (2023). Cancer in Australia 2023. AIHW. https://www.aihw.gov.au/reports/cancer/cancer-in-australia-2023
- 4.Basch, E., Deal, A. M., Dueck, A. C., Scher, H. I., Kris, M. G., Hudis, C., & Schrag, D. (2017). Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA, 318(2), 197–198. https://doi.org/10.1001/jama.2017.7156
- 5.Moran, B., Brown, G., & Cunningham, C. (2021). Postoperative surveillance after colorectal cancer resection: current evidence and future directions. Colorectal Disease, 23(6), 1309–1318. https://doi.org/10.1111/codi.15517
- 6.Moghavem, N., Morrison, D., Bhatt, D. L., & Hernandez-Boussard, T. (2020). Surgical 30-day readmissions: a systematic review of machine learning approaches. JAMIA Open, 4(1), ooaa060. https://doi.org/10.1093/jamiaopen/ooaa060
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247 Health News Editorial
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